Monetisation of vehicle sensor data for road asset maintenance purposes

Abstract

The transition towards connected and spatially aware automobiles presents a plethora of opportunities for new data-driven services. This thesis investigated the relatively unexplored area of vehicle sensor data monetisation for road asset maintenance purposes. The study adopted an abductive methodology that incorporated theory, empirical observations and analysis in an iterative manner to enable recontextualisation of findings from adjacent research fields and a pragmatic orientation towards research inquiry. In the aspiration to create pragmatic and actionable advice for practitioners and researchers alike, this thesis has elucidated concerns and opportunities in four areas: key variations between incumbent and new entrants by value chain analysis; relevant regulations and possible implications of these; challenges inhibiting the realisation of the use case, and factors associated with success in the actualisation of data-driven service utilizing vehicle sensor data for road asset maintenance purposes